Advertising technology monitoring platform

Abstract

Embodiments include methods and systems for monitoring whether a company's website(s) comply with different laws (such as privacy laws), desired settings, settings related to marketing campaigns, or other desired parameters or settings for a company's website(s). For companies to extract the most value from their websites, they want to ensure legal compliance, and also compliance with marketing partners such as Google Analytics or others, so that the largest amount of data, and most accurate data, is collected and tracked across various websites and web pages.

What is claimed is: 
     
         1 . A computer-implemented method for monitoring one or more digital marketing campaigns and their integration with one or more websites, the method comprising:
 receiving one or more desired settings for one or more digital marketing campaigns;   receiving one or more current digital marketing campaign settings for the one or more websites;   comparing the one or more current settings with the one or more desired settings; and   presenting the comparison to a user via a user interface.   
     
     
         2 . The method of  claim 1 , wherein the one or more settings comprise at least one of: one or more privacy settings; one or more data settings; one or more marketing settings; one or more configuration settings; one or more language settings; one or more General Data Protection Regulation (GDPR) settings; one or more California Consumer Privacy Act (CCPA) settings. 
     
     
         3 . The method of  claim 1 , further comprising receiving, from a user, one or more edits to the one or more current digital marketing campaign settings in response to the presenting. 
     
     
         4 . The method of  claim 1 , wherein the one or more desired settings for one or more websites is received from one or more marketing partners of the one or more digital marketing campaigns. 
     
     
         5 . The method of  claim 1 , wherein the one or more current settings for one or more digital marketing campaigns is received from one or more marketing partners of the one or more websites. 
     
     
         6 . The method of  claim 1 , wherein the one or more websites comprise different versions of the same website for use in one or more different geographic areas. 
     
     
         7 . The method of  claim 1 , further comprising issuing a ticket for any of the one or more current settings that do not match the one or more desired settings. 
     
     
         8 . The method of  claim 1 , further comprising presenting compliance data over time to a user, wherein compliance refers to one or more scores given to comparisons of the one or more desired settings to the one or more current settings over time. 
     
     
         9 . An apparatus for monitoring one or more digital marketing campaigns, comprising:
 processing circuitry; and   a memory, the memory containing instructions executable by the processing circuitry whereby the apparatus is operative to perform the steps of:
 receiving one or more desired settings for one or more digital marketing campaigns; 
 receiving one or more current digital marketing campaigns settings for the one or more websites; 
 comparing the one or more current settings with the one or more desired settings; and 
 presenting the comparison to a user via a user interface. 
   
     
     
         10 . The apparatus of  claim 9 , wherein the one or more settings comprise at least one of: one or more privacy settings; one or more data settings; one or more marketing settings; one or more configuration settings; one or more language settings; one or more General Data Protection Regulation (GDPR) settings; one or more California Consumer Privacy Act (CCPA) settings. 
     
     
         11 . The apparatus of  claim 9 , wherein the steps further comprise receiving, from a user, one or more edits to the one or more current digital marketing campaigns settings in response to the presenting. 
     
     
         12 . The apparatus of  claim 9 , wherein the one or more desired settings for one or more digital marketing campaigns is received from one or more marketing partners of the one or more websites. 
     
     
         13 . The apparatus of  claim 9 , wherein the one or more current settings for one or more digital marketing campaigns is received from one or more marketing partners of the one or more websites. 
     
     
         14 . The apparatus of  claim 9 , wherein the one or more websites comprise different versions of the same website for use in one or more different geographic areas. 
     
     
         15 . The apparatus of  claim 9 , wherein the steps further comprise issuing a ticket for any of the one or more current settings that do not match the one or more desired settings. 
     
     
         16 . The apparatus of  claim 9 , wherein the steps further comprise presenting compliance data over time to a user, wherein compliance refers to one or more scores given to comparisons of the one or more desired settings to the one or more current settings over time. 
     
     
         17 . A computer implemented method for obtaining optimal digital marketing campaigns settings, comprising:
 obtaining a dataset of digital marketing campaign metrics;   training a machine learning model using the dataset of website metrics, thereby obtaining a trained machine learning model; and   storing the trained machine learning model.   
     
     
         18 . The method of  claim 17 , further comprising:
 performing a fan algorithm check of implementation settings compared to a standard;   inputting a dataset of digital marketing campaign settings into the trained machine learning model, the trained machine learning model being trained using one or more digital marketing campaign settings related to one or more of: marketing partners, privacy, and/or compliance, and one or more outputs related to website performance, and   obtaining a dataset of optimal digital marketing campaign settings labeled by the trained model.   
     
     
         19 . The method of  claim 17 , wherein the machine learning model uses one or more inputs and produces one or more outputs;
 wherein the one or more inputs comprises at least one of; types of violations, one or more digital marketing campaign settings, one or more specific advertisements, one or more marketing techniques, one or more marketing platform settings, one or more administrator identities, one or more marketing partner identities; and   wherein the one or more outputs comprise at least one of: return on advertising spending (ROAS); compliance with General Data Protection Regulation (GDPR); a conversion rate; a number of clicks; a number of impressions.   
     
     
         20 . The method of  claim 18 , further comprising making a marketing recommendation to a user based on the dataset of optimal digital marketing campaign settings.